Search Results for author:
Found 6 papers, 2 papers with code
Worst-Case Riemannian Optimization with Uncertain Target Steering Vector for Slow-Time Transmit Sequence of Cognitive Radar
In order to solve this problem, we propose a new optimization method for slow-time transmit sequence design.
LDSF: Lightweight Dual-Stream Framework for SAR Target Recognition by Coupling Local Electromagnetic Scattering Features and Global Visual Features
We extract the EM scattering (EMS) information from the complex SAR data and integrate the physical properties of the target into the network through a dual-stream framework to guide the network to learn physically meaningful and discriminative features.
Fast Sparse PCA via Positive Semidefinite Projection for Unsupervised Feature Selection
A standard convex SPCA-based model with PSD constraint for unsupervised feature selection is proposed.
ROFusion: Efficient Object Detection using Hybrid Point-wise Radar-Optical Fusion
In this paper, we propose a hybrid point-wise Radar-Optical fusion approach for object detection in autonomous driving scenarios.
A classification performance evaluation measure considering data separability
Machine learning and deep learning classification models are data-driven, and the model and the data jointly determine their classification performance.
Ambiguity Function Shaping based on Alternating Direction Riemannian Optimal Algorithm
In this paper, we proposed a novel method to design a waveform to synthesize the STAF based on suppressing the interference power.
